Dynamic media content for collaborators with client environment information in dynamic client contexts

ABSTRACT

Delivering dynamic media content to collaborators, including providing collaborative event media content, where the collaborative event media content further comprises a grammar and a structured document; acquiring data representing a client&#39;s environmental condition; storing, in the context server in a data structure comprising a dynamic client context for the client, the data representing a client&#39;s environmental condition; detecting an event in dependence upon the dynamic client context; identifying one or more collaborators in dependence upon the dynamic client context and the event; selecting from the structured document a classified structural element in dependence upon an event type and a collaborator classification; and transmitting the selected structural element to the collaborator.

CROSS-REFERENCE TO RELATED APPLICATION

This application is a continuation application of and claims priorityfrom U.S. patent application Ser. No. 10/832,035, filed on Apr. 26,2004.

BACKGROUND OF THE INVENTION

1. Field of the Invention

The field of the invention is data processing, or, more specifically,methods, systems, and products for delivering dynamic media content forcollaborators.

2. Description of Related Art

Technology today includes the capability of sensing client locations andretaining persistent data describing clients, devices and persons, andthe environments in which they reside, work, and travel. Technologyprovides the capability of detecting changes in clients' environmentsincluding their locations. Current technology provides the capability ofstructuring information needed to respond meaningfully to such changes,including, for example, the capabilities of the SGML (StandardGeneralized Markup Language), XML (eXtensible Markup Language), and HTML(HyperText Markup Language).

For any particular response, however, there is a wide variety ofcollaborator purpose, organizational affiliation, technical knowledge,security authorization, and so on, across almost any dimension in whichresponders may vary. Targeting content for such a heterogeneous set ofcollaborators is typically a manual process today in which providerscreate wholly separate presentations for each type of collaborator, andthe content of each such presentation is reduced to the lowest commondenominator of any particular group. There is a substantial need forimproved coordination in responding to changes in clients' locations andenvironments as well as improvements in multimedia presentation systemsuseful by responding collaborators.

SUMMARY OF THE INVENTION

Methods, systems, and computer program products are described fordelivering dynamic media content to collaborators that include providingcollaborative event media content, where the collaborative event mediacontent further comprises a grammar and a structured document; acquiringdata representing a client's environmental condition; storing, in thecontext server in a data structure comprising a dynamic client contextfor the client, the data representing a client's environmentalcondition; detecting an event in dependence upon the dynamic clientcontext; identifying one or more collaborators in dependence upon thedynamic client context and the event; selecting from the structureddocument a classified structural element in dependence upon an eventtype and a collaborator classification; and transmitting the selectedstructural element to the collaborator.

In some embodiments, acquiring data representing a client'senvironmental condition includes receiving asynchronously fromenvironmental sensors data representing a client's environmentalcondition. In some embodiments, the dynamic client context includesnetwork addresses for environmental sensors for a client and acquiringdata representing a client's environmental condition includes thecontext server's polling of the environmental sensors for the client. Intypical embodiments, detecting an event in dependence upon the dynamicclient context includes detecting a change in a value of a data elementin the dynamic client context and applying an event detection rules baseto the dynamic client context.

In typical embodiments, providing collaborative event media contentincludes creating, in dependence upon original media content, astructured document, where the structured document includes one or morestructural elements, and creating a grammar for the collaborative eventmedia content, where the grammar includes grammar elements each of whichincludes an identifier for at least one structural element of thestructured document.

Such embodiments typically also include classifying a structural elementof the structured document according to a presentation attribute. Insuch embodiments, classifying a structural element typically includesidentifying a presentation attribute for the structural element;identifying a classification identifier in dependence upon thepresentation attribute; and inserting the classification identifier inassociation with the structural element in the structured document.

In many embodiments, identifying collaborators includes identifying acollaborator in dependence upon collaborator presence on a instantmessaging network. In many embodiments, identifying one or morecollaborators in dependence upon the identified event includesidentifying a collaborator in dependence upon client location. Intypical embodiments, transmitting the selected structural element to thecollaborator includes selecting a data communications protocol forcommunications with a collaborator; inserting the selected structuralelement in a data structure appropriate to the data communicationsprotocol; and transmitting the data structure to the collaboratoraccording to the data communications protocol.

The foregoing and other objects, features and advantages of theinvention will be apparent from the following more particulardescriptions of exemplary embodiments of the invention as illustrated inthe accompanying drawings wherein like reference numbers generallyrepresent like parts of exemplary embodiments of the invention.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 sets forth a block diagram of an exemplary system operableaccording to embodiments of the present invention to deliver dynamicmedia content to collaborators.

FIG. 2 sets forth data structure diagrams illustrating exemplary datastructures useful in various embodiments of the present invention todeliver dynamic media content to collaborators.

FIG. 3 sets forth a data flow diagram illustrating an exemplary methodfor providing collaborative event media content.

FIG. 4 sets forth an exemplary data structure in which a grammar may beimplemented according to embodiments of the present invention.

FIG. 5 is a data flow diagram illustrating a further method forproviding collaborative event media content.

FIG. 6 sets for a data flow diagram illustrating an exemplary method forclassifying a structural element.

FIG. 7 sets forth a data flow diagram illustrating an exemplary methodfor classifying a structural element.

FIG. 8 sets forth a data flow diagram illustrating a further exemplarymethod for classifying a structural element.

FIG. 9 sets forth a data flow diagram illustrating another exemplarymethod for classifying a structural element.

FIG. 10 sets forth a data flow diagram illustrating a further exemplarymethod for classifying a structural element.

FIG. 11 sets forth a flow chart illustrating an exemplary method fordelivering dynamic media content to collaborators.

FIG. 12 sets a forth flow chart illustrating an exemplary method fordetecting an event in dependence upon a dynamic client context.

FIG. 13 sets forth a data flow diagram illustrating a further exemplarymethod for selecting classified structural elements and transmittingthem to a collaborator.

FIG. 14 sets forth a flow chart illustrating an exemplary method forgenerating a dynamic client context for a client.

FIG. 15 sets forth a flow chart illustrating an exemplary method forgenerating a dynamic client context for a client.

DETAILED DESCRIPTION OF EXEMPLARY EMBODIMENTS Introduction

The present invention is described to a large extent in thisspecification in terms of methods for creating a voice response grammarfrom a presentation grammar. Persons skilled in the art, however, willrecognize that any computer system that includes suitable programmingmeans for operating in accordance with the disclosed methods also fallswell within the scope of the present invention. Suitable programmingmeans include any means for directing a computer system to execute thesteps of the method of the invention, including for example, systemscomprised of processing units and arithmetic-logic circuits coupled tocomputer memory, which systems have the capability of storing incomputer memory, which computer memory includes electronic circuitsconfigured to store data and program instructions, programmed steps ofthe method of the invention for execution by a processing unit.

The invention also may be embodied in a computer program product, suchas a diskette or other recording medium, for use with any suitable dataprocessing system. Embodiments of a computer program product may beimplemented by use of any recording medium for machine-readableinformation, including magnetic media, optical media, or other suitablemedia. Persons skilled in the art will immediately recognize that anycomputer system having suitable programming means will be capable ofexecuting the steps of the method of the invention as embodied in aprogram product. Persons skilled in the art will recognize immediatelythat, although most of the exemplary embodiments described in thisspecification are oriented to software installed and executing oncomputer hardware, nevertheless, alternative embodiments implemented asfirmware or as hardware are well within the scope of the presentinvention.

Delivering Dynamic Media Content to Collaborators

Exemplary methods, systems, and products are described for deliveringdynamic media content to collaborators with reference to theaccompanying drawings, beginning with FIG. 1. FIG. 1 sets forth a blockdiagram of an exemplary system operable according to embodiments of thepresent invention to deliver dynamic media content to collaborators. Thesystem of FIG. 1 operates generally to deliver dynamic media content tocollaborators by providing collaborative event media content (266),where collaborative event media content generally includes a grammar anda structured document; generating a dynamic client context (236) for aclient (154); detecting an event (168) in dependence upon the dynamicclient context (236); identifying one or more collaborators (182) independence upon a dynamic client context (236) and the event (168);selecting from a structured document in the collaborative event mediacontent (266) a classified structural element in dependence upon anevent type and a collaborator classification; and transmitting theselected structural element to the collaborator.

The system of FIG. 1 includes environmental sensors (156) and locationsensors (158) that provide data describing a client (154) and theclient's environment. Environmental sensors are any sensor capable ofdetecting or measuring in electronic form one or more environmentalconditions of a client, including factors and variables near theclient's physical location. Examples of environmental sensors includesmoke detectors, thermometers, barometers, motion detectors, lightsensors, metal detectors, chemical sensors, and so on, as will occur tothose of skill in the art. Location sensors are any mechanism capable ofindicating in electronic form at least a useful approximation of theclient's physical location. Examples of location sensors include GPS(Global Positioning System) receivers, network routers configured withtheir own physical locations, and network routers configured withclients' physical locations.

The system of FIG. 1 also includes clients (154) that operate byacquiring data that describes the client and the client's environmentand communicates that data to a context server (160) for storage in adynamic client context. Clients are any automated computing machinerycapable of communicating client location and client environmental datato a context server, including, for example, personal computers,laptops, personal digital assistants (“PDAs”), network-enabled mobiletelephones, and so on, as will occur to those of skill in the art. Thereis no requirement that a client be associated with a person, althoughthey often are. On the other hand, however, a client may be the computeroperating a security system in a building with smoke detectors,thermometers, and motion sensors. Context server (160) is any datacommunications server capable of accepting data communications messagesfrom clients and providing data processing services in response to suchmessages. Such messages may be communicated according to any useful datacommunications protocol as will occur to those of skill in the art,including for example HTTP (the HyperText Transport Protocol), and themessages may include, for example, HTTP ‘REQUEST’ messages and HTTP‘POST’ messages.

Data processing services provided by context server (160) includedetecting an event (168) in dependence upon the dynamic client context(236). Detecting an event may be carried out by detecting a change in avalue of a data element in a dynamic client context (236) and applyingan event detection rules base (164) to the dynamic client context.Context server (160) includes an event generator (166), a softwaremodule programmed to create an event object (168) and hand it off toaction engine (170) when an event is detected.

An event is a change in one or more values of data elements in a dynamicclient context that meet event criteria such as threshold requirementsor rules in a rules base. A mere change in the value of a data elementmay not be enough to constitute an event. A change in environmentaltemperature from 72 degrees Fahrenheit to 73 degrees Fahrenheit, forexample, may generally be ignored by an event generator. Consider thefollowing event generation rule, however:

-   -   IF a client's physical location is in a building    -   AND IF the temperature in the building exceeds 105 degrees        Fahrenheit    -   AND IF a smoke detector in the building is activated    -   THEN event type is set to ‘FIRE’

In this example, the client's physical location, the environmentaltemperature for the client, and the status of the smoke detector wherethe client is located are all stored in data elements in a dynamicclient context for the client. In this example, event generator appliesthe exemplary rule from rules base (164) and receives a return eventtype of ‘FIRE,’ which event generator (166) is programmed to pass to anobject oriented parameterized event creation factory method in an eventfactory object. The event factory instantiates and returns an object ofa concrete event class named, for example, fireEvent, derived from anabstract event class. The abstract class declares member data elementsand member methods needed by all concrete event classes in the system.Each concrete event class is then augmented with member data elementsand member methods as needed to address particular kinds of events,fires, automobile accidents, hazardous materials spills identified bychemical sensors, firearms presence identified by metal detectors,burglaries identified by motion detectors, and so on. Exemplary concreteevent class names therefore may include not only fireEvent, but alsocarWreckEvent, hazMatEvent, gunEvent, burglaryEvent, and so on, as willoccur to those of skill in the art.

When an event generator instantiates an event object, the eventgenerator typically may include in the event object a reference to oneor more dynamic client context objects, including the current dynamicclient context object whose changes in data values triggered the event,but also one or more previous dynamic client context objects so that anaction engine may have previous data values as needed. Alternatively, aconcrete event class may include all the data elements needed for actionpreparation, so that only the data values are loaded from the pertinentdynamic client contexts rather than including the dynamic clientcontexts themselves, object built from them, or object orientedreferences or pointers to them.

Event (168), by the time it arrives in action engine (170) contains allthe data needed to identify the type of event and develop actions inresponse to the event, including data from or references to objectsbuilt from pertinent dynamic client contexts (236). Action engine (170)is programmed to apply collaborator selection rules (186) to the eventtype identified in event (168) to assemble from collaborator profiledatabase (184) a list (176) of collaborators for the event. Collaboratorprofiles are data structures such as records in a collaborator profiledatabase (184) that include data elements describing a collaborator,including, for example, collaborator name, collaborator identificationcode, collaborator physical address, collaborator type (EMS, police,wife, accountant, lawyer, HazMat Responder, and so on), and a list ofone or more event types in which a collaborator may collaborate.Examples of collaborator selection rules include the following:

-   -   Select collaborators according to event type.    -   Select only collaborators that are currently ‘present’ for        receipt of instant messages on an instant messaging service.    -   If, for an event type, there is more than one collaborator of a        collaborator type, select all collaborators of that type.    -   If, for an event type, there is more than one collaborator of a        collaborator type, select the first collaborator of that type        found in the collaborator profile database.    -   If, for an event type, there is more than one collaborator of a        collaborator type, select the collaborator of that type whose        physical location is closest to the client's.

The collaborator list (176) is installed in instant messaging server(174) so that all collaborators in the list are ‘present’ for instantmessaging and all collaborators on the list are joined in a messagingsession so that any messages from any collaborator is seen immediatelyon the communications devices of all collaborators (182). Examples ofinstant messaging protocols useful with various embodiments of thepresent invention include the Instant Messaging and Presence Protocol(“IMPP”) specified by the IMPP Working Group of the Internet EngineeringTask Force and the Mitre Corporation's Simple Instant Messaging andPresence Service (“SIMP”). Such instant messaging services generallydefine and support ‘presence services’ that provide indications whetheran instant messaging client is on-line. Such services also allow users,in this case collaborators, to subscribe to one another's messaging, sothat messages to one collaborator are also communicated to othersubscribing collaborators. Action engine (170), in providing the list(176) of collaborators for an event (168) to the instant messagingservice (174), effects a mutual subscription among the collaborators solisted, so that messages among the collaborators are communicated to allcollaborators for that event.

Collaborators (182) are effectively represented in the system of FIG. 1by their communications devices, which again may or may not beassociated directly with a particular person. A ‘collaborator’ may be,for example, a console in a 911 service staffed by more than one person,or a passive, unmanned display device may be registered as acollaborator for an event type. It is generally expected, however, thata collaborator is a person participating, collaborating, in respondingto an event by use of a data communications device connected to aninstant messaging session that is established for the purpose of helpingcollaborators so respond.

In the system of FIG. 1, action engine (170) is programmed to request ofaction server (178) an action list for an event type. Action server(178) operates an action factory (not shown) that generates fromconcrete action classes (180) one or more action objects, placesreferences to the action object in a list object (172), and returns thelist object (172) to action engine (170). Action engine (170) thenproceeds generally to execute the actions identified in the list (172).Examples of actions include transmitting to collaborators a descriptionof the event that triggered the current action list, transmitting tocollaborators data from a pertinent dynamic client context, transmittingto collaborators Materials Data Sheets for use in HazMat responses,transmitting to collaborators maps showing a client's physical location,transmitting to collaborators travel directions to a client's physicallocation, and so on as will occur to those of skill in the art.

The system of FIG. 1 includes a voice response server (104) throughwhich collaborators (182) may issue presentation control instructions toaction engine (170). Presentation control instructions representinstructions or requests from collaborators for particular collaborativeevent media content. A collaborator may, for example, request a map ofthe neighborhood of a client's physical location, directions from thecollaborator's present location to the client's location, Materials DataSheets for hazmat responses, and so on. Voice response server (104)creates presentation control instructions for action engine (170), forexample, by receiving through a VOIP (Voice Over Internet Protocol)channel from a collaborator a key phrase and optional parameters forinvoking a presentation action and parsing the key phrase and parametersagainst a grammar into a presentation control instruction.

For further explanation, FIG. 2 sets forth data structure diagramsillustrating exemplary data structures useful in various embodiments ofthe present invention to deliver dynamic media content to collaborators.The exemplary data structures of FIG. 2 include a client record (154)representing a client. As discussed above, a client is any automatedcomputing machinery capable of communicating client location and clientenvironmental data to a context server, including, for example, personalcomputers, laptops, personal digital assistants (“PDAs”),network-enabled mobile telephones, and so on, as will occur to those ofskill in the art. The client record (154) of FIG. 2 includes a clientIDfield (670) that uniquely identifies the client and an IP address field(673) that includes a network address of the client.

The exemplary data structures of FIG. 2 also include a dynamic clientcontext record (236) that represents the client and the client'ssurrounding environment. The dynamic client context record (236) of FIG.2 includes a client ID (670) identifying the client and a location field(554) containing the location of the client. The location of the clientmay be represented as a set of coordinates, a physical address, abuilding and room number, or any other representation of client locationthat will occur to those of skill in the art. The dynamic client contextrecord (236) of FIG. 2 includes a data storage for three sets ofenvironmental IDs (672, 676, 680) and their corresponding environmentalvalues (674, 678, 682). Environmental IDs uniquely identify a particularenvironmental condition such as temperature, humidity, barometricpressure and so on as will occur to those of skill in the art.Environmental values (674, 678, 682) represent the current state of theenvironmental conditions. Environmental values are typically measured inelectronic form by one or more environmental sensors and reported to aclient. Examples of environmental sensors include smoke detectors,thermometers, barometers, motion detectors, light sensors, metaldetectors, chemical sensors, and so on, as will occur to those of skillin the art. Although the dynamic client context (236) of FIG. 2 includesdata storage for only three environmental IDs and their correspondingvalues there is no such limitation in the scope of the presentinvention. In fact, dynamic client contexts according to the presentinvention often contain values for many kinds of environmentalconditions and therefore there is no limitation on the number ofenvironmental conditions that can be represented in a dynamic clientcontext as will occur to those of skill in the art.

The exemplary data structures of FIG. 2 also include an event record(168) representing a change in one or more values of data elements in adynamic client context that meet event criteria such as thresholdrequirements or rules in a rules base. The event record (168) of FIG. 2includes an event ID (684) uniquely identifying the event and an eventtype (686) that identifies the kind of event represented by the eventrecord. Examples of event types include ‘fire,’ ‘rain,’ ‘thunder’ and soon as will occur to those of skill in the art.

The data structures of FIG. 2 include an exemplary collaborator profile(183) representing a collaborator. As discussed above, collaborators canbe persons, devices, or processes and are often represented by theircommunications devices. A ‘collaborator’ may be, for example, a consolein a 911 service staffed by more than one person, or a passive, unmanneddisplay device may be registered as a collaborator for an event type. Itis generally expected, however, that a collaborator is a personparticipating, collaborating, in responding to an event by use of a datacommunications device connected to an instant messaging session that isestablished for the purpose of helping collaborators so respond. Thecollaborator profile (183) of FIG. 2 includes a collaborator ID (243)uniquely identifying the collaborator (244). The exemplary collaboratorprofile (183) of FIG. 2 includes data storage for a classification (244)for the collaborator. A collaborator classification is type codedescribing the collaborator and used to both select the collaborator inresponse to an event as well as to select structural elements ofcollaborative event media content to present to the collaborator. Theexemplary collaborator profile (183) of FIG. 2 includes thecollaborators current location (688) and data storage for one or moredisplay device IDs (690) identifying one or more display devicesavailable to the collaborator on which structural element ofcollaborative event media content can be displayed to the collaborator.The exemplary collaborator profile (183) also includes an eventTypeList(681) that includes event types for collaborator selection as discussedin more detail below.

The exemplary data structures of FIG. 2 includes collaborative eventmedia content (266) representing media content available for dynamicdelivery to a collaborator in response to an event. The collaborativeevent media content of FIG. 2 includes a structured document (122) whichincludes a plurality of structural elements (402) and classificationidentifies (708) for the structural elements. Examples of structuralelements include pages, paragraphs, bullet points, graphical images, andso on as will occur to those of skill in the art. A classificationidentifier is an identifier that classifies a structural element for aparticular collaborator. That is, classification identifiers are used toselect particular structural elements for delivery to particularcollaborators.

The collaborative event media content includes a grammar (258)associated with the structured document (122) that includes grammarelements (316) and structural element identifiers (318). A grammar (258)is a data structure associating key phrases with presentation actionsthat facilitates a collaborator navigating the structured document (122)of collaborative event media content using speech commands. In theexample of FIG. 2, the grammar (258) includes grammar elements (316)each of which includes an identifier (318) for at least one structuralelement (402) of the structured document (122).

Providing Collaborative Event Media Content

For further explanation, FIG. 3 sets forth a data flow diagramillustrating an exemplary method for providing collaborative event mediacontent that includes creating (304), in dependence upon original mediacontent (108), a structured document (122). In the example of FIG. 3,the structured document (122) includes one or more structural elements(402). Examples of structural elements include pages, paragraphs,slides, bullets points, graphic images, video clips and so on as willoccur to those of skill in the art. In the method of FIG. 3, creating(304) a structured document (122) includes inserting (320) in thestructural document (122) structural element identifiers (322) for thestructural elements (402). A structural element identifier (302) is anidentifier such as for example a tag in an XML document or otheridentifier in a structured document that identifies a structuralelement.

The method of FIG. 3 also includes creating (310) a grammar (258) forthe collaborative event media content (266). A grammar (258) is a datastructure associating key phrases with presentation actions thatfacilitates a collaborator navigating the structured document (122) ofthe collaborative event media content (266) using speech commands. Apresentation action is an action controlling the display of one or morestructural elements of a structured document. For example, a grammar mayinclude a key phrase ‘next bullet’ that is associated with apresentation action that searches the structured document for the nextstructural element identified as a bullet point and displays thatstructural element. In such and example, to invoke the display of thenext bullet point of the structured document, a collaborator need onlyspeak the key phrase ‘next bullet.’

For further explanation FIG. 4 sets forth an exemplary data structure(258) in which a grammar may be implemented according to embodiments ofthe present invention. The grammar of FIG. 4 includes several grammarelements (502-514) for a content type. A content type represents thekind of media to be directed with spoken key phrases of the grammar. Inthis example, the content type is taken as a word processing documenthaving structural elements that include pages, paragraphs, bullets,titles, subtitles, and so on, and the data structure includes a columnfor an identifier (318) of a structural element, a column for a keyphrase (516) for formulating a presentation control instruction forinvoking a presentation action to display the collaborative mediacontent, and a column for a presentation action identifier (518)representing a presentation action. The exemplary data structure of FIG.4 also includes a column for a data indication whether a presentationcontrol instruction requires a parameter. The exemplary grammar entriesfor presentation action identifiers PgDn (502), PgUp (504),nextParagraph (508), and prevBullet (512) have parameter (520) values of‘null,’ signifying that a voice response server parsing their keyphrases into presentation control instructions is not to parse aparameter for a presentation control instruction. The exemplary grammarentries for presentation action identifiers goToPage (506), nextHeading(510), and goToSubtitle (514), however, have parameter (520) values of‘integer’ and ‘string,’ signifying that a voice response server parsingtheir key phrases into presentation control instructions is to seek toparse for each of them respectively an integer parameter, a stringparameter, and a string parameter.

Creating a grammar (258) such as the grammar of FIG. 4 typicallyincludes identifying the content type of at least a portion of theoriginal media content and associating, in dependence upon the contenttype, a key phrase with a presentation action. Identifying the contenttype of at least a portion of the original media content can be carriedout by identifying the content type in dependence upon a filenameextension, in dependence upon document header elements, or any other wayof identifying the content type that will occur to those of skill in theart.

Methods of providing collaborative event media content are furtherexplained with an exemplary use case. Consider the following example ofa structured document:

<document>   <page id=“1”>     <p id=“1”>a paragraph</p>     <pid=“2”>another paragraph</p>     <image id=“1”>a graphic image</image>  </page>     <page id=“2”>     <p id=“3”>a paragraph</p>     <pid=“4”>another paragraph</p>     <image id=“2”>another graphicimage</image>   </page> </document>And assume that this exemplary structured document is associated in aproviding collaborative event media content with the following grammar:

TABLE 1 Grammar Presentation Structural Action Element Key PhraseIdentifier Identifier Parameter page down PgDn <page> null page up PgUp<page> null go to page goToPage <page> integer next paragraphnextParagraph <p> null go to paragraph goToParagraph <p> integer nextimage nextImage <image> null go to image goToImage <image> integer

In this example, collaborative event media content is transmitted to acollaborator and the first page of the structured document is displayedon a collaborator's communications device such as for example a voiceresponse server enabled PDA. When the collaborator speaks the words“page down,” a voice response server on the PDA parses the speech into apresentation control instruction having a presentation controlidentifier named “PgDn” and communicates the presentation controlinstruction to display the next page, in this example, page 2 of theexample structured document. Similarly, when the first page of thestructured document is displayed, a collaborator's speaking the words“go to paragraph 4” results in changing the display to show paragraph 4on the second page of the document. And, when the first page is ondisplay for the collaborators the collaborator speaks the words “nextimage,” a collaborator's display device changes the display to showimage 2 on the second page of the document.

Classifying Structural Elements in Collaborative Event Media Content

FIG. 5 is a data flow diagram illustrating a further method forproviding collaborative event media content (266). The method of FIG. 5includes creating (304), in dependence upon an original media content(108), a structured document (122) comprising one or more structuralelements (402), as explained in above. The method of FIG. 5 alsoincludes classifying (330) a structural element (402) of the structureddocument (122) according to a presentation attribute (352). Presentationattributes are generic selection criteria for displaying appropriatestructural elements of collaborative event media content tocollaborators. Examples of presentation attributes includecollaborator's company names, department names, security levels,technical levels, and so on. The method of FIG. 5 also includes creating(310) a grammar (258) for the structured document (122) as describedabove with reference to FIGS. 3 and 4.

For further explanation, FIG. 6 sets for a data flow diagramillustrating an exemplary method for classifying a structural element.The method of FIG. 6 includes identifying (702) a presentation attribute(352) for the structural element (402); identifying (704) aclassification identifier (708) in dependence upon the presentationattribute (352); and inserting (706) the classification identifier (708)in association with the structural element (402) in the structureddocument (122). As discussed above with reference to FIG. 5,presentation attributes are generic selection criteria for displayingappropriate structural elements of collaborative event media content tocollaborators. Examples of presentation attributes includecollaborator's company names, department names, security levels,technical levels, and so on. A classification identifier (708)identifies a collaborators classification. Examples of classificationsinclude any supported data codes describing collaborator classification,including, for example “company=IBM,” “department=marketing,” “technicallevel=3,” “security level=2,” and others as will occur to those of skillin the art.

For further explanation, FIG. 7 sets forth a data flow diagramillustrating an exemplary method for classifying a structural element ina structured document in which identifying (702) a presentationattribute (352) for the structural element (402) includes selecting(710) a presentation attribute (352) from a list (712) of supportedpresentation attributes (352). The presentation attribute list (712) ofFIG. 7 includes two columns, one column for presentation attributes(352) and another column for associated classification identifiers(708). In the method of FIG. 7, identifying (704) a classificationidentifier (708) is carried out by identifying a classificationidentifier (708) associated with the presentation attribute (352) on thelist (712). In the method of FIG. 7, inserting (706) the classificationidentifier (708) includes manually editing (712) the structured document(122) to insert classification identifiers in appropriate locations toclassify structural elements in a structured document. For example, aparagraph to be viewed only by collaborators who are members of themarketing department may be classified by tagging the paragraph with<mkt> </mkt>.

For further explanation, FIG. 8 sets forth a data flow diagramillustrating a further exemplary method for classifying a structuralelement in a structured document (122) in which identifying (702) apresentation attribute (352) for the structural element (402) includesselecting (710) a presentation attribute (352) from a list (712) ofsupported presentation attributes (352), the presentation attribute(352) having an associated classification identifier (708). In themethod of FIG. 8, identifying (704) a classification identifier (708)includes inserting (716) the classification identifier (708) in a datastructure (717) in association with a structural element identifier(322) for the structural element (402). In the method of FIG. 8,inserting (706) the classification identifier (708) in the structureddocument (122) includes reading (714) the classification identifier(708) from the data structure (717) in dependence upon the structuralelement identifier (322).

For further explanation, FIG. 9 sets forth a data flow diagramillustrating another exemplary method for classifying a structuralelement in a structured document that includes providing a list (712) ofsupported presentation attributes (352) including at least one keyword(802) and at least one indication of structural insertion scope (804)for each presentation attribute (352). In the method of FIG. 9,identifying (702) a presentation attribute (352) for the structuralelement (402) includes selecting (710) a presentation attribute (352)from the list (712) in dependence upon a keyword (806) from thestructured document (122). In the method of FIG. 9, identifying (704) aclassification identifier (708) is carried out by identifying aclassification identifier (708) associated with the presentationattribute (352) on the list (712). In the method of FIG. 9, inserting(706) the classification identifier (708) is carried out by insertingthe classification identifier (708) in the structured document (122)according to a structural insertion scope (804) for the selectedpresentation attribute (352).

FIG. 10 sets forth a data flow diagram illustrating a further exemplarymethod for classifying a structural element (402) in a structureddocument (122) that includes providing a list (712) of supportedpresentation attributes (352) including at least one data pattern (810)and at least one indication of structural insertion scope (804) for eachpresentation attribute (352). In the method of FIG. 10, identifying(702) a presentation attribute (352) for the structural element (402)includes selecting (814) a presentation attribute (352) from the list(712) in dependence upon a data pattern (812) from the structureddocument (122). In the method of FIG. 10, identifying (704) aclassification identifier (708) is carried out by identifying aclassification identifier (708) associated with the presentationattribute (352) on the list (712). In the method of FIG. 10, inserting(706) the classification identifier (708) is carried out by insertingthe classification identifier (708) in the structured document (122)according to a structural insertion scope (804) for the selectedpresentation attribute (352).

Methods of providing collaborative event media content are furtherexplained with an exemplary use case. Consider the following example ofa structured document:

<document>   <page id=“1”>     <p id=“1”>       a paragraph on anintroductory subject     </p>   </page>   <page id=“2”>     <p id=“2”>      a map paragraph on a particular subject     </p>     <techlevel=“2”>     <p id=“2”>       a more technical paragraph on the samesubject     </p>     </tech>     <security level=“2”>     <p id=“2”>      a more secret paragraph on the same subject     </p>    </security>     <dept id=“marketing”>     <p id=“2”>       aparagraph on the same subject with added detail       regardingmarketing     </p>     </dept>     <company id=“IBM”>     <p id=“2”>      a paragraph on the same subject with added detail       pertinentto a collaborator's company     </p>     </company>     <p id=“3”>      a paragraph on a further subject     </p>     ... ... ...  </page>   <page id=“3”>     ... ... ...   </page>   ... ... ...</document>

This example is generally discussed assuming that this exemplarystructured document is associated with a grammar that includespresentation action identifiers for paragraphs. In this example, whencontext changes for a client identify an event, a set of collaboratorsare identified and structural elements of the structured document ofcollaborative even media content are transmitted to the identifiedcollaborators. In this example when a structural element of the firstpage of the structured document is transmitted to a collaborator and thecollaborator speaks the words “next page,” a voice response serverparses the speech into a presentation control instruction with apresentation action identifier named “PgDn” and communicates thepresentation control instruction to display the next page, in thisexample, page 2 of the structured document.

Assume further that there are five collaborators selected in dependenceupon the event created by changed client contexts and note that thereare five different versions of paragraph 2 on page two of the structureddocument. In this example, a first version of paragraph 2 bears astructural identifier <p></p> identifying it as a paragraph, but thisfirst version of paragraph 2 bears no classification identifier. In thisexample, the unclassified version of paragraph 2 is displayed to allcollaborators having either the lowest technical classifications, thelowest security classifications, or no particular technical or securityclassifications at all. Moreover, in an example, where there were onlyone version of paragraph 2, all collaborators would be presented withthat one version.

In this example, a second version of paragraph 2 is classified with aclassification identifier <tech level=“2”>. In this example, the secondversion of paragraph 2 is displayed to collaborators having collaboratorclassification indicating technical level 2. That is, when acollaborator having technical level 2 in the collaborators profileclassifications is selected in dependence upon events created by changedclient contexts, rather than displaying an unclassified version ofparagraph 2, the second version of paragraph 2 classified <techlevel=“2”> is displayed to such a collaborator.

Similarly, a collaborator having a profile classification representing aheightened security authorization, security level 2, is shown theversion of paragraph 2 classified by the classification identifier<security level=“2”>. A collaborator having a collaborator profileclassification identifying the collaborator as a member of the marketingdepartment is shown the version of paragraph 2 classified by theclassification identifier <dept id=“marketing”>. A collaborator having aprofile classification identifying the collaborator as an employee ofIBM is shown the version of paragraph 2 classified by the classificationidentifier <company id=“IBM”>.

For purposes of clarity of explanation, the structural elements in thisexample are shown with only one classification per element. Persons ofskill in the art will recognize, however, that it is well within thescope of the present invention for a structural element of a structureddocument to be classified with any number of classification identifiers.

Delivering Dynamic Media Content to Collaborators

For further explanation, FIG. 11 sets forth a flow chart illustrating anexemplary method for delivering dynamic media content to collaboratorsthat includes providing (232) collaborative event media content (266).In the method of FIG. 11, the collaborative event media content (266)includes a grammar (258) and a structured document (122). In the methodof FIG. 11, providing (232) collaborative event media content (266) iscarried out by creating, in dependence upon original media content, astructured document and creating a grammar for the collaborative eventmedia content (266) as discussed in more detail above with reference toFIGS. 3-10.

The method of FIG. 11 includes generating (234) a dynamic client context(236) for a client. In the method of FIG. 11, generating (234) a dynamicclient context (236) is carried out by acquiring data that describes theclient and the client's environment and storing the data describing theclient and the client's environment in a context server.

The method of FIG. 11 includes detecting (238) an event (168) independence upon the dynamic client context (206). For furtherexplanation of detecting events, FIG. 12 sets a forth flow chartillustrating an exemplary method for detecting (238) an event (168) independence upon a dynamic client context (236). The method of FIG. 12includes detecting (256) a change in a value of a data element in thedynamic client context (236) and applying (262) rules from eventdetection rules base (164) to the dynamic client context (164) todetermine whether an event has occurred.

In the method of FIG. 12, detecting (256) a change in a value of a dataelement in the dynamic client context (236) is carried out by comparingdata values in a current dynamic client context (236) with correspondingvalues from a previous dynamic client context (235) for the same client.If there is any change (256), the method of FIG. 12 proceeds by applying(262) rules from a rules base (164) to determine whether the contextdata as changed represents an event. If there is no change in thecontext data (260), the method of FIG. 12 proceeds by saving (268) thecurrent dynamic client context as a previous dynamic client context andcontinuing to generate (234) dynamic client contexts as client datacomes in. If an event is recognized according to the rules from therules base, the method of FIG. 12 creates an event object (168) of anevent type (242).

As mentioned above, the method of FIG. 12 may create an event object bypassing an event type identified by the rules base to an object orientedparameterized event creation factory method in an event factory object.Such an event factory instantiates and returns an object of a concreteevent class named, for example, fireEvent, carWreckEvent, hazMatEvent,gunEvent, burglaryEvent, and so on, as will occur to those of skill inthe art, derived from an abstract event class. The abstract classdeclares member data elements and member methods needed by all concreteevent classes in the system. Each concrete event class is augmented withmember data elements and member methods as needed to address particularkinds of events, fires, automobile accidents, hazardous materials spillsidentified by chemical sensors, firearms presence identified by metaldetectors, burglaries identified by motion detectors, and so on.

When an event generator instantiates an event object, the eventgenerator typically may include in the event object a reference to oneor more dynamic client context objects, including the current dynamicclient context object whose changes in data values triggered the event,but also one or more previous dynamic client context objects so that anaction engine may have previous data values as needed. Alternatively, aconcrete event class may include all the data elements needed for actionpreparation, so that only the data values are loaded from the pertinentdynamic client contexts rather than including the dynamic clientcontexts themselves, object built from them, or object orientedreferences or pointers to them.

Again referring to FIG. 11: The method of FIG. 11 includes identifying(240) one or more collaborators (182) in dependence upon the dynamicclient context (236) and the event (168). As mentioned above inconnection with the description of the system of FIG. 1, event (168)contains not only its event type (242), but also all the data needed todevelop actions in response to the event, including data from orreferences to objects built from pertinent dynamic client contexts(236). Identifying collaborators typically is carried out by applyingcollaborator selection rules to the event type (242) to identify from acollaborator profile database a collaborator for the event. Collaboratorprofiles are data structures, such as those shown for example atreference (182) on FIG. 2, often implemented as records in acollaborator profile database (184) that include data elementsdescribing a collaborator, including, for example, collaborator name,collaborator identification code, collaborator physical location,collaborator type or classification code (EMS, police, wife, accountant,lawyer, HazMat Responder, and so on), and a list (681 on FIG. 2) of oneor more event types in which a collaborator may collaborate.Collaborator selection rules are implemented to identify collaboratorson the basis of event type, collaborator presence on a instant messagingnetwork, client location, collaborator location, and collaborator typeor classification.

The method of FIG. 11 includes selecting (246) from the structureddocument (122) a classified structural element (402) in dependence uponan event type (242) and a collaborator classification (244). Selecting aclassified structural element can be carried out by selecting aclassified structural element having an associated classificationidentifier that corresponds to the collaborator classification.Alternatively, selecting a classified structural element can be carriedout by selecting a classified structural element in dependence uponcharacteristics of a collaborator's display device. In such examples,the selected structural element has an associated classificationidentifier that corresponds to a display device ID stored in thecollaborator's profile. Selecting structural elements in dependence uponthe device characteristics of the display device advantageouslyfacilitates selecting structural elements that are most compatible withthe collaborator's display device.

The method of FIG. 11 includes transmitting (248) the selectedstructural element (402) to the collaborator (182). In the method ofFIG. 11 transmitting (248) the selected structural element (402) to thecollaborator (182) is carried out by: selecting a data communicationsprotocol for communications with a collaborator; inserting the selectedstructural element in a data structure appropriate to the datacommunications protocol; and transmitting the data structure to thecollaborator according to the data communications protocol.

For Further explanation FIG. 13 sets forth a data flow diagramillustrating a further exemplary method for selecting classifiedstructural elements and transmitting them to a collaborator. The methodof FIG. 13 enables delivery of collaborative event media content tocollaborators according to a wide variety of organizational membership,technical knowledge, security authorization, and so on, across almostany dimension in which participants may vary. Such delivery isaccomplished generally in methods and systems according to embodimentsof the present invention by use of structured, classified collaborativeevent media content, which typically is made up of a grammar and astructured document. Using such documents as a source of presentationcontent, collaborative event media content is delivered by selectingfrom a structured document classified structural elements for deliveryto particular collaborators according to the classification identifiersin the document and collaborator classifications or type codes fromcollaborator profiles.

The method of FIG. 13 includes providing (450) collaborative event mediacontent (266) for use in responding to events generated by changes indynamic client contexts. In the method of FIG. 13, the collaborativeevent media content (266) includes a grammar (258) and a structureddocument (122), and providing (450) collaborative event media content(266) is carried out by as described in detail above with reference toFIGS. 3-10.

The method of FIG. 13 also includes creating (462) a presentationcontrol instruction (460). A presentation control instruction is aninstruction to an action engine (170) to carry out a particularpresentation action such as, for example, ‘display next page,’ ‘displaynext slide,’ ‘display paragraph 5,’ ‘send a map of client's location,’‘send travel directions to client's location,’ and so on as will occurto those of skill in the art. More particularly, in collaborative eventmedia content delivery, presentation actions are carried out bypresenting to a particular collaborator a version of a particularstructural element, such as a paragraph, a slide, a map, and so on,according to collaborator classifications such as organization name,security authorization, technical expertise level, and so on. In themethod of FIG. 13, an exemplary presentation control instruction (460)includes a presentation action identifier (518) and one or more optionalparameters (520).

In the method of FIG. 13, creating the presentation control instructionis carried out by receiving (464) from a collaborator (182) a key phrase(516) and optional parameters (520) for invoking a presentation actionand parsing (466) the key phrase (516) and parameters (520) against agrammar (258) into a presentation control instruction (460). The grammar(258) used in the voice response server (104) may be developed speciallyfor voice response service or may be the same grammar (258) used in thecollaborative event media content with the structured document (122).

In this example, receiving (464) a key phrase (516) is carried out byuse of a Voice Over Internet Protocol (“VOIP”) link (130) that carriesthe speech of at least one collaborator (182) from the collaborator'scommunications device to a voice response server (104). A VOIP link is akind of computer hardware and software that uses an internet protocolnetwork instead of a traditional telephone network as the transmissionmedium for speech. VOIP is sometimes referred to as ‘IP telephony’ or‘Voice Over the Internet’ (“VOI”). Examples of user client devicesinclude any computer equipment capable of converting input speech todigital data and transmitting it over the internet protocol to a voiceresponse server, including handheld wireless devices, personal digitalassistants, personal computers, laptop computers, and the like.

The method of FIG. 13 also includes receiving (458) a presentationcontrol instruction (460) in an action engine (170) and selecting (452)from a structured document (122) a classified structural element (402)in dependence upon collaborator classifications (210) of a collaborator(182). In the method of FIG. 13, selecting (452) a classified structuralelement (402) is carried out by selecting a classified structuralelement (402) in dependence upon the presentation action identifier(518) and the parameters (520) from the presentation control instruction(460). In the method of FIG. 13, selecting (452) a classified structuralelement (402) also includes selecting a classified structural elementhaving an associated classification identifier (708) that corresponds tothe collaborator classification (210).

For further explanation, consider an example using the followingexemplary structured document:

<collaborativeEventMediaContent>   <Grammar>     <grammarElement>      <contentType id=“WP”>       <keyPhrase>page down</keyPhrase>      <presentationAction id=“PgDn”>       <structuralElementIdentifierid=“page”>     </grammarElement >   </Grammar>   <structuredDocument>    <page id=“1”>       <p id=“1”> a paragraph </p>       <p id=“2”>another paragraph </p>     </page>     <page id=“2”>       <p id=“2”>aparagraph on a particular subject</p>       <tech level=“2”>       <pid=“2”>a more technical paragraph, same         subject</p>      </tech>       <company id=“IBM”>       <p id=“2”>a paragraph, samesubject with added detail         pertinent to a user's company</p>      </company>       <p id=“3”>a paragraph on some other subject</p>      ... ... ...     </page>   </structuredDocument></collaborativeEventMediaContent >

In this example, assume that a first collaborator has in a collaboratorprofile collaborator classifications indicating that the collaborator isan IBM employee and a second collaborator has collaboratorclassifications indicating that the collaborator has technical abilitylevel ‘2’. In this example, an action engine receives (458) apresentation control instruction (460) to move to the display to thesecond page of the structured document. The action engine then selects(452) from the structured document (256) for the first collaborator thestructural element identified as a version of page two and classifiedas:

<company id=“IBM”> <p id=“2”>a paragraph, same subject with added detailpertinent to a   collaborator's company</p> </company>and for the second collaborator the structural element identified as aversion of page two and classified as:

<tech level=“2”> <p id=“2”>a more technical paragraph, same subject</p></tech>

The method of FIG. 13 also includes transmitting (248) the selectedstructural element (456) to the collaborator (182). In the method ofFIG. 13, transmitting (248) the selected structural element (456) to thecollaborator may be carried out, for example, by selecting a datacommunications protocol for the presentation, inserting the selectedstructural element (without its classification identifiers) in a datastructure appropriate to the data communications protocol, andtransmitting the data structure to the collaborator according to thedata communications protocol. If, for example, the data communicationsprotocol is selected as HTTP, a data structure appropriate to the datacommunications protocol is an HTML document in an HTTP RESPONSE message.In such an example, transmitting (248) the selected structural element(456) to the collaborator may be carried out, for the two exemplaryversions of page two selected above, by the following HTTP RESPONSEmessages:

HTTP/1.1 200 OK Date:        Content-Type: text/xml Content-Length: 128<html><body><p id=“2”>a paragraph, same subject with added detailpertinent to a collaborator's company</p> </body></html>and for the second collaborator the structural element identified as aversion of page two and classified as:

HTTP/1.1 200 OK Date:        Content-Type: text/xml Content-Length: 103<html><body><p id=“2”>a more technical paragraph, samesubject</p></body></html>respectively, the first sent to the communications device of the firstcollaborator and the second sent to the communications device of thesecond collaborator. Note that in both transmissions, the classificationidentifiers are omitted, <company id=“IBM”> and <tech level=“2”>respectively.

This example of transmitting (248) a selected structural element (456)to a collaborator (182) is expressed in terms of HTML and HTTP, astateless, asynchronous protocol. Many embodiments will statefully holdopen a data communications connection, such as a TCP/IP connection,between a presentation server and a collaborator communication device. AStateful Java Enterprise Session Bean™ may be used, for example, to holdopen a TCP/IP connection implemented with a Java socket object. Readersof skill in the art will recognize therefore that HTML and HTTP are usedfor explanation, not for limitation. In fact, any presentationapplication using any appropriate data communications protocol usefulfor multi-media presentations may be used to present structural elementsto collaborators according to embodiments of the present invention. Suchapplication may be obtained off-the-shelf commercially or they may bespecially developed for particular presentations or kinds ofpresentation. An example of such an application available commerciallyis Microsoft NetMeeting™. Examples of other data communicationsprotocols useful with various embodiments of the present inventioninclude the Session Initiation Protocol specified in the IETF's RFC2543, the Real Time Streaming Protocol as specified in the IETF's RFC2326, the Real Time Transport Protocol of RFC 1889, and the World WideWeb Consortium's VoiceXML protocol specified in the 2003 documententitled “Voice Extensible Markup Language (VoiceXML) Version 2.0”.

For further explanation, FIG. 14 sets forth a flow chart illustrating anexemplary method for generating a dynamic client context (236) for aclient that includes providing (550) data (554) identifying a client'slocation and storing (552), in the context server (160) in a datastructure comprising a dynamic client context (236) for the client(154), the data (554) identifying the client's location. In the methodof FIG. 14, providing (550) to a context server (160) data identifying aclient's location may be carried out by GPS coordinates from a GPSreceiver (560) and storing (552) the data identifying the client'slocation may be carried out by storing the GPS coordinates in thedynamic client context (236) for the client (154).

In the method of FIG. 14, providing (220) to a context server (160) dataidentifying a client's location may also be carried out by querying(558) a router for a physical address of the router; and storing (552)the data identifying the client's location may be carried out by storingthe physical address of the router (558) in the dynamic client context(236) for the client (154). Router (558) may, for example, provide awireless access point (560) to an internet, a so-called Wi-Fi connectionor ‘hotspot,’ through which portable computers effect wirelessconnection to the World Wide Web, for example. For such connections, theclient may not be configured with its physical address and so thereforeadvantageously may query the router through the OSI link layer, throughan ARP (Address Resolution Protocol) query, for example, for thephysical address of the router. This method is useful for 802.11b-typewireless connections, for example, because in order to effect suchconnections, the client must be located physically close enough to therouter so that the router's physical address is a good approximation forthe physical address of the client.

In the method of FIG. 14, providing (550) to a context server (160) dataidentifying a client's location may be carried out by querying a router(558) for a physical address of the client (154) and storing (552) thedata identifying the client's location may be carried out by storing(552) the physical address of the client (154) in the dynamic clientcontext (236) for the client (154). Router (558) may, for example,provide a wired (561) network connection for a client (154), in whichcase the physical location of the router, even if it is known, mayprovide inadequate precision in locating clients connected to it. Suchclients could be anywhere in a large building, anywhere in a largecampus of buildings, almost anywhere with relation to the router.

Internet protocol routers typically maintain ARP caches for use inresolving network addresses to link layer addresses. For efficient linklayer address resolution, a router typically stores recently resolvednetwork addresses in association with their corresponding link layeraddresses in an ARP cache. To resolve link layer addresses into physicaladdresses, an ARP cache may be modified according to embodiments of thepresent invention to include also physical addresses of clientsconnected to a network through a router.

An example of an ARP cache modified according to embodiments of thepresent invention is shown in Table 2. Routers may serve more than onlyport on more than one LAN, but for ease of explanation, Table 2illustrates an ARP cache for a single LAN on a single port on a singlerouter. Table 2 associates network layer addresses and link layeraddresses in two entry types, dynamic and static. Static ARP cacheentries remain in the cache. Dynamic entries store ‘learned addresses’entered automatically by the router in response to ARP queries or DHCP(Dynamic Host Configuration Protocol) offer messages, for example, anddynamic entries are ‘aged’ for an ‘aging time.’ That is, dynamic ARPcache entries time out according to the cache's aging time and are thendeleted from the ARP cache. Because dynamic ARP cache entries time out,ARP cache entries for resolving link layer addresses into physicallocations advantageously are typically created as static ARP cacheentries.

TABLE 2 Exemplary ARP Cache Network Layer Address Link Layer AddressPhysical Address Type 199.199.40.1 00 00 0c 1a eb c5 504 Lavaca Static00 dd 01 07 57 15 Bldg 1, Rm 5 Static 10.57.10.32 00 60 8c 0e 6c 6a 302Congress Static 199.199.40.124 00 11 2c 1c ef c4 Dynamic

Table 2 includes three static ARP cache entries that resolve client'slink layer addresses to physical addresses. Note that the second suchentry remains in the cache even though the DHCP of its network addresshas expired. It remains in the cache because the link layer address isunique to a device connected to the routers, and the method of FIG. 14therefore will resolve that client's physical address given its linklayer address regardless whether that client has a current networkaddress. A client may query a router for the client's physical addressby use of new or modified request/response messages in the InternetControl Message Protocol (‘ICMP’), the Internet Protocol (‘IP’), thelink layer itself as in a new or modified Ethernet message type, and inother ways as will occur to those of skill in the art.

For further explanation, FIG. 15 sets forth a flow chart illustratinganother exemplary method for generating a dynamic client context (236)for a client that includes acquiring (572) data (547) representing aclient's environmental condition and storing (576), in the contextserver (160) in a data structure comprising a dynamic client context(236) for the client (154), the data (574) representing a client'senvironmental condition. In the method of FIG. 15, acquiring datarepresenting a client's environmental condition may be carried out byreceiving asynchronously from environmental sensors data representing aclient's environmental condition. In the method of FIG. 15, the dynamicclient context may include network addresses for environmental sensorsfor a client and acquiring data representing a client's environmentalcondition may be carried out by the context server's polling of theenvironmental sensors for the client.

It will be understood from the foregoing description that modificationsand changes may be made in various embodiments of the present inventionwithout departing from its true spirit. The descriptions in thisspecification are for purposes of illustration only and are not to beconstrued in a limiting sense. The scope of the present invention islimited only by the language of the following claims.

1. A method for delivering dynamic media content to collaborators, themethod comprising: providing collaborative event media content, whereinthe collaborative event media content further comprises a grammar and astructured document, said structured document comprising a plurality ofclassified structural elements; acquiring data representing a client'senvironmental condition; storing, in the context server in a datastructure comprising a dynamic client context for the client, the datarepresenting a client's environmental condition; detecting an event independence upon the dynamic client context; identifying one or morecollaborators in dependence upon the dynamic client context and theevent; selecting from the structured document a classified structuralelement from among the plurality of classified structural elements basedupon an event type and a collaborator classification associated with acollaborator among the one or more collaborators; and transmitting theselected classified structural element to the collaborator.
 2. Themethod of claim 1 wherein acquiring data representing a client'senvironmental condition further comprises receiving asynchronously fromenvironmental sensors data representing a client's environmentalcondition.
 3. The method of claim 1 wherein the dynamic client contextincludes network addresses for environmental sensors for a client andacquiring data representing a client's environmental condition furthercomprises the context server's polling of the environmental sensors forthe client.
 4. The method of claim 1 wherein detecting an event independence upon the dynamic client context further comprises: detectinga change in a value of a data element in the dynamic client context; andapplying an event detection rules base to the dynamic client context. 5.The method of claim 1 wherein providing collaborative event mediacontent further comprises: creating, in dependence upon original mediacontent, a structured document, the structured document furthercomprising one or more structural elements; creating the grammar for thecollaborative event media content, wherein the grammar includes grammarelements each of which includes an identifier for at least onestructural element of the structured document; wherein the grammar is adata structure associating key phrases with presentation actions thatfacilitates the collaborator navigating the structured document ofcollaborative event media content using speech commands.
 6. The methodof claim 5 further comprising classifying a structural element of thestructured document according to a presentation attribute.
 7. The methodof claim 6 wherein classifying a structural element comprises:identifying a presentation attribute for the structural element;identifying a classification identifier in dependence upon thepresentation attribute; and inserting the classification identifier inassociation with the structural element in the structured document. 8.The method of claim 1 wherein identifying the one or more collaboratorsfurther comprises identifying the collaborator in dependence uponcollaborator presence on a instant messaging network.
 9. The method ofclaim 1 wherein identifying the one or more collaborators in dependenceupon the identified event comprises identifying collaborator independence upon client location.
 10. The method of claim 1 whereintransmitting the selected structural element to the collaborator furthercomprises: selecting a data communications protocol for communicationswith the collaborator; inserting the selected structural element in adata structure appropriate to the data communications protocol; andtransmitting the data structure to the collaborator according to thedata communications protocol.
 11. The method of claim 1, wherein thecollaborator is a first collaborator, the collaborator classification isa first collaborator classification, and the classified structuralelement is a first classified structural element, the method furthercomprising: selecting from the structured document a second classifiedstructural element from among the plurality of classified structuralelements based upon an event type and a second collaboratorclassification; and transmitting the selected second classifiedstructural element to a second collaborator.
 12. A computer programproduct for delivering dynamic media content to collaborators, thecomputer program product comprising: a non-transmission recording mediumhaving computer readable program code embodied therewith, the computerreadable program code comprising: computer readable program codeconfigured to: provide collaborative event media content, wherein thecollaborative event media content further comprises a grammar and astructured document, said structured document comprising a plurality ofclassified structural elements; acquire data representing a client'senvironmental condition; store, in the context server in a datastructure comprising a dynamic client context for the client, the datarepresenting a client's environmental condition; detect an event independence upon the dynamic client context; identify one or morecollaborators in dependence upon the dynamic client context and theevent; select from the structured document a classified structuralelement from among the plurality of classified structural elements basedupon an event type and a collaborator classification associated with acollaborator among the one or more collaborators; and transmit theselected structural element to the collaborator.
 13. The computerprogram product of claim 12 wherein the computer readable program codeconfigured to acquire data representing a client's environmentalcondition further comprises computer readable program code configured toreceive asynchronously from environmental sensors data representing aclient's environmental condition.
 14. The computer program product ofclaim 12 wherein the dynamic client context includes network addressesfor environmental sensors for a client and wherein the computer readableprogram code configured to acquire data representing a client'senvironmental condition further comprises for computer readable programcode configured to poll the environmental sensors for the client. 15.The computer program product of claim 12 wherein the computer readableprogram code configured to detect an event in dependence upon thedynamic client context further comprises: computer readable program codeconfigured to detect a change in a value of a data element in thedynamic client context; and computer readable program code configured toapply an event detection rules base to the dynamic client context. 16.The computer program product of claim 12, wherein the computer readableprogram code configured to provide collaborative event media contentfurther comprises: computer readable program code configured to createin dependence upon original media content, a structured document, thestructured document further comprising one or more structural elements;computer readable program code configured to create the grammar for thecollaborative event media content, wherein the grammar includes grammarelements each of which includes an identifier for at least onestructural element of the structured document; wherein the grammar is adata structure associating key phrases with presentation actions thatfacilitates the collaborator navigating the structured document ofcollaborative event media content using speech commands.
 17. Thecomputer program product of claim 16 further comprising computerreadable program code configured to classify a structural element of thestructured document according to a presentation attribute.
 18. Thecomputer program product of claim 17 wherein the computer readableprogram code configured to classify a structural element comprises:computer readable program code configured to identify a presentationattribute for the structural element; computer readable program codeconfigured to identify a classification identifier in dependence uponthe presentation attribute; and computer readable program codeconfigured to insert the classification identifier in association withthe structural element in the structured document.
 19. The computerprogram product of claim 12 wherein the computer readable program codeconfigured to identify the one or more collaborators further comprisescomputer readable program code configured to identify the collaboratorin dependence upon collaborator presence on a instant messaging network.20. The computer program product of claim 12 wherein the computerreadable program code configured to identify the one or morecollaborators in dependence upon the identified event comprises computerreadable program code configured to identify the collaborator independence upon client location.
 21. The computer program product ofclaim 12 wherein the computer readable program code configured totransmit the selected structural element to the collaborator furthercomprises: computer readable program code configured to select a datacommunications protocol for communications with the collaborator;computer readable program code configured to insert the selectedstructural element in a data structure appropriate to the datacommunications protocol; and computer readable program code configuredto transmit the data structure to the collaborator according to the datacommunications protocol.
 22. The computer program product of claim 12,wherein the collaborator is a first collaborator, the collaboratorclassification is a first collaborator classification, and theclassified structural element is a first classified structural element,the method further comprising: computer readable program code configuredto select from the structured document a second classified structuralelement from among the plurality of classified structural elements basedupon an event type and a second collaborator classification; andcomputer readable program code configured to transmit the selectedsecond classified structural element to a second collaborator.
 23. Anapparatus for delivering dynamic media content to collaborators, theapparatus comprising: a dynamic media server coupled for datacommunications with a client coupled for data communication with acontext server coupled for data communications with an action engine;wherein the dynamic media server comprises a module of automatedcomputing machinery that provides collaborative event media content,wherein the collaborative event media content further comprises agrammar and a structured document, said structured document comprising aplurality of classified structural elements; the client comprises amodule of automated computing machinery that acquires from anenvironmental sensor data representing the client's environmentalcondition and stores the data representing the client's environmentalcondition in the context server in a data structure comprising a dynamicclient context for the client; the context server comprises a module ofautomated computing machinery that detects an event in dependence uponthe dynamic client context; and the action engine comprises a module ofautomated computing machinery that identifies one or more collaboratorsin dependence upon the dynamic client context and the event, selectsfrom the structured document a classified structural element from amongthe plurality of classified structural elements based upon an event typeand a collaborator classification associated with a collaborator amongthe one or more collaborators and transmits the selected structuralelement to the collaborator.
 24. The apparatus of claim 23 wherein thedynamic client context includes network addresses for environmentalsensors for the client and wherein the client polls the environmentalsensors to acquire data representing the client's environmentalcondition.
 25. The apparatus of claim 23 wherein the context serverdetects an event in dependence upon the dynamic client context bydetecting a change in a value of a data element in the dynamic clientcontext and applying an event detection rules base to the dynamic clientcontext.
 26. The apparatus of claim 23 wherein the dynamic media serverprovides collaborative event media content by creating, in dependenceupon original media content, a structured document, the structureddocument further comprising one or more structural elements; andcreating the grammar for the collaborative event media content, whereinthe grammar includes grammar elements each of which includes anidentifier for at least one structural element of the structureddocument; wherein the grammar is a data structure associating keyphrases with presentation actions that facilitates the collaboratornavigating the structured document of collaborative event media contentusing speech commands.
 27. The apparatus of claim 26 wherein the dynamicmedia server classifies a structural element of the structured documentaccording to a presentation attribute.
 28. The apparatus of claim 27wherein the dynamic media server classifies a structural element of thestructured document according to a presentation attribute by identifyinga presentation attribute for the structural element, identifying aclassification identifier in dependence upon the presentation attribute,and inserting the classification identifier in association with thestructural element in the structured document.
 29. The apparatus ofclaim 23 wherein the action engine identifies the one or morecollaborators in dependence upon the dynamic client context and theevent in dependence upon collaborator presence on an instant messagingnetwork.
 30. The apparatus of claim 23 wherein the action engineidentifies the one or more collaborators in dependence upon the dynamicclient context and the event in dependence upon client location.
 31. Theapparatus of claim 23 wherein the action engine transmits the selectedstructural element to the collaborator by selecting a datacommunications protocol for communications with the collaborator,inserting the selected structural element in a data structureappropriate to the data communications protocol, and transmitting thedata structure to the collaborator according to the data communicationsprotocol.
 32. The apparatus of claim 23, wherein the collaborator is afirst collaborator, the collaborator classification is a firstcollaborator classification, and the classified structural element is afirst classified structural element, the action engine being furtherconfigured to select from the structured document a second classifiedstructural element from among the plurality of classified structuralelements based upon an event type and a second collaboratorclassification, and transmit the selected second classified structuralelement to a second collaborator.